静永程，2026年加入武汉大学计算机学院（教授、博士生导师），入选国家级高层次青年人才。长期从事大语言模型高效推理方法研究，目前于杜博教授团队从事人工智能与医疗交叉领域。

2020年至2023年于澳大利亚悉尼大学攻读博士学位，随后在悉尼大学及南洋理工大学从事博士后研究工作，博士及博士后阶段均师从澳大利亚科学院院士陶大程教授。2016年至2019年于浙江大学计算机科学与技术学院攻读硕士学位（获浙江省优秀硕士学位论文——浙江大学计算机科学与技术学院排名第一、唯一入选者），导师为宋明黎教授和俞益洲教授。2013年至2016年于华南理工大学计算机全英联合班攻读学士学位（提前一年本科毕业）。第一作者论文单篇最高被引超过1000次，4篇第一作者论文单篇被引超过100次，成果获得60余位院士、Fellow的正面评价。获得中国教育部国家优秀留学生奖（全球所有学科每年650名）、CCF-A类会议CVPR颁发的CVPR Doctoral Consortium Award，并连续两年入选清华大学AMiner AI 2000最具影响力学者提名奖等。

个人英文学术主页：https://ycjing.github.io/

News 

① 课题组2027年硕博还有少量名额，招收 2027 硕士（计算机学院、前沿交叉院），博士（计算机学院，接收中关村学院和河套学院联培同学），招生专业为 计算机科学与技术、软件工程、人工智能、计算机技术，方向为：(1) 医疗人工智能；(2) 前沿通用人工智能算法（大语言模型、智能体、世界模型等）。欢迎各位同学联系！

② 长期招收想要提前参与科研工作以及做毕业设计的武大本科生同学，欢迎大家邮件联系！

（提前参与科研的本科生同学要求绩点排名前十，邮件请附上本科成绩单；毕业设计同学请直接将成绩单发至邮箱）

③ 课题组鼓励本科生同学组队参加各类国内国际比赛，课题组可组建指导教师团队进行指导，欢迎报名参加比赛的同学联系！

④ 课题组联合招聘博士后一名，薪酬和福利按照国家、湖北省以及武汉大学相关政策执行，感兴趣的申请人请将个人简历、代表性研究成果以及研究计划发送至邮箱。

课题组联系方式：whu_genai@163.com

For international students: My apologies for not having any openings for international students at the moment. Please stay tuned for future opportunities. Many thanks.

课题组历年发表CCF-A类论文入选 Oral / Spotlight / Hightlight 情况：

1. Yifu Ding, Jiacheng Wang, Ge Yang, Yongcheng Jing, Jinyang Guo, Xianglong Liu, Dacheng Tao. Attribution-Guided and Coverage-Maximized Pruning for Structural MoE Compression. In ICML 2026 (Spotlight).

2. Huazheng Wang, Yongcheng Jing, Haifeng Sun, Jingyu Wang, Jianxin Liao, Leszek Rutkowski, Dacheng Tao. Bridging the Tokenizer Gap: Semantics- and Distribution-Aware Knowledge Transfer for Unbiased Cross-Tokenizer Distillation. In AAAI 2026 (Oral).

3. Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen, Yong Luo, Bo Du, Dacheng Tao. Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG. In ICML 2025 (Oral).

4. Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao. Deep Graph Reprogramming. In CVPR 2023 (Hightlight).

5. Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao. Amalgamating Knowledge from Heterogeneous Graph Neural Networks. In CVPR 2021 (Oral).

6. Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen. Dynamic Instance Normalization for Arbitrary Style Transfer. In AAAI 2020 (Oral).

2026年课题组发表CCF-A类/清华大学计算机学科群推荐A类论文情况：

1. Yifu Ding, Jiacheng Wang, Ge Yang, Yongcheng Jing, Jinyang Guo, Xianglong Liu, Dacheng Tao. Attribution-Guided and Coverage-Maximized Pruning for Structural MoE Compression. In ICML 2026 (Spotlight).

2. Huazheng Wang, Yongcheng Jing, Haifeng Sun, Jingyu Wang, Jianxin Liao, Leszek Rutkowski, Dacheng Tao. Bridging the Tokenizer Gap: Semantics- and Distribution-Aware Knowledge Transfer for Unbiased Cross-Tokenizer Distillation. In AAAI 2026 (Oral).

3. Weixiao Zhan, Yongcheng Jing, Leszek Rutkowski, Dacheng Tao. Distillation Traps and Guards: A Calibration Knob for LLM Distillability. In ACL 2026.

4. Huazheng Wang, Yongcheng Jing, Haifeng Sun, Jingyu Wang, Jianxin Liao, Dacheng Tao. Erasing without Remembering: Safeguarding Knowledge Forgetting in Large Language Models. In ACL 2026.

5. Yu Zhao, Hao Guan, Yongcheng Jing, Ying Zhang, Dacheng Tao. MedCoG: Maximizing LLM Inference Density in Medical Reasoning via Meta-Cognitive Regulation. In ICML 2026.

6. Yibo Wang, Yongcheng Jing, Shunyu Liu, Hao Guan, Rong-Cheng Tu, Chengyu Wang, Jun Huang, Dacheng Tao. VTC-R1: Vision-Text Compression for Efficient Long-Context Reasoning. In EMNLP 2026.

7. Xiaohui Zhao, Xiangyu Meng, Jinjin Chi, Yongcheng Jing, Yiming Wang, Yibing Zhan, Hang Sun, Dacheng Tao. PeriBench: A Protocol-Aware Benchmark for Dynamic Perioperative Risk Prediction from Numerical Models to Language Interfaces. In EMNLP 2026.

8. Yifu Ding, Yongcheng Jing, Chengyu Wang, Jun Huang, Dacheng Tao. Orchestrating Hidden-Intermediate Pruning-and-Distill for MoEs Slimming. In EMNLP 2026 (Finding).

9. Yingjie Wang, Yutian Zhou, Shi Fu, Yuzhu Chen, Yongcheng Jing, Leszek Rutkowski, Dacheng Tao. Towards a Theoretical Understanding of In-context Learning: Stability and Non-I.I.D Generalisation. In ICLR 2026.

10. Wenhao Sun, Rong-Cheng Tu, Yifu Ding, Zhao Jin, Jingyi Liao, Yongcheng Jing, Dacheng Tao. Singular Proxies for Adaptive Caching in Diffusion Language Models. In ICML 2026.

11. Jinjin Chi, Taoping Liu, Mengtao Yin, Ximing Li, Yongcheng Jing, Jialie Shen, Leszek Rutkowski, Dacheng Tao. Disentangled Representation Learning via Flow Matching. In NeurIPS 2026.

12. Junjie Zhang, Guozheng Ma, Shunyu Liu, Zetian Hu, Yongcheng Jing, Ting-En Lin, Yongbin Li, Dacheng Tao. STRIDE: Learnable Stepwise Language Feedback for LLM Reasoning. In NeurIPS 2026.

13. Mingyang Yu, Rong-Cheng Tu, Yifu Ding, Hanqing Zhao, Yongcheng Jing, Xiao Luo, Dacheng Tao. LAPrune: Logits-Aligned Scoring Proxy for KV Pruning via Vector Quantization. In NeurIPS 2026.

14. Siyuan Liang, Tianmeng Fang, Yongcheng Jing, Hanqing Zhao, Jiaxing Huang, Dacheng Tao. TAME-MA: Taming Mobile Agents via Trajectory-Level Trustworthiness Under Jailbreak Manipulations. In IJCV 2026.

15. Shengkai Hu, Jiaqi Ma, Xu Zhang, Yongcheng Jing, Lefei Zhang, Jun Wan. ClusIR: Towards Cluster-Guided All-in-One Image Restoration. In ACM MM 2026.

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